Data on 989,624 polling stations from 32 states or union territories from https://psleci.nic.in/Default.aspx

The final CSV (.7z) has the following columns:

1. state, district, ac, and polling station: state_or_ut, district, ac, polling_station

2. lat/long of the polling station: lat, long

3. details about the election officer: blo, ero, deo, ceo

4. links to electoral rolls: The link to the primary electoral roll is posted under eroll and the supplementary roll goes under supplementary. Not all polling stations have supplementary rolls. Note: Many of the links are dead.

5. data on the polling station:

   Building Quality, PS with less than 20 sqmts, PS buildings is dilapidated or dangerous, PS is in Govt building/Premises, PS located in an institution/religious place, PS in School/College building, PS in ground floor, PS having Separate door for Entry and Exit, political party office situated within 200 meters of PS premises, PS is having drinking water facilities in the premises, PS buildings having Electricity Supply, PS buildings with Proper lighting, Fixtures etc., PS buildings with Toilet(Male/Female), PS with ramps For Disable, PS buildings with Adequate Furniture, PS with shade/shelter for protection from sun/rain etc., PS with Proper road connectivity, PS where voters have to cross river/valley/ravine or natural obstacle to reach PS, PS with Landline Telephone/Fax Connection, PS with Mobile connectivity, PS with Internet facility, PS with Proper signage of Building name and address, PS with in LWE/insurgency affected area, PS With in forest/semi-forest area, PS in vulnerable critical location, sensitive/hyper-sensitive PS

The script poll_station_metadata.py scrapes https://psleci.nic.in/Default.aspx and creates poll_station_metadata.csv containing data from the dropdowns (State, District, AC, etc.), location of the polling station from Google Maps, and whatever is available on the polling station page (example: https://psleci.nic.in/pslinfoc.aspx?S=S01&A=153&P=15).

pip install -r requirements.txt
python poll_station_metadata.py

Of the 748,584 polling stations about which we have data on building conditions, nearly 24% report having Internet and a similar number report having "Landline Telephone/Fax Connection." 97.7% report having toilets for men and women. 2.6% report being in a "dilapidated or dangerous" building.

93.2% report having ramps for the disabled. 98.3% report having "proper road connectivity." Nearly 4% report being located at a place where the "voters have to cross river/valley/ravine or natural obstacle to reach PS."

92% of the polling stations are located in "Govt building/Premises." And 11.4% are reportedly located in "an institution/religious place."

8% report having a "political party office situated within 200 meters of PS premises."